dc.contributor.author
Hansen, Peter
dc.contributor.author
Gargano, Michael
dc.contributor.author
Hecht, Jochen
dc.contributor.author
Ibn-Salem, Jonas
dc.contributor.author
Karlebach, Guy
dc.contributor.author
Roehr, Johannes T.
dc.contributor.author
Robinson, Peter N.
dc.date.accessioned
2019-07-29T13:30:12Z
dc.date.available
2019-07-29T13:30:12Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/25164
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-2919
dc.description.abstract
Hi-C, capture Hi-C (CHC) and Capture-C have contributed greatly to our present understanding of the three-dimensional organization of genomes in the context of transcriptional regulation by characterizing the roles of topological associated domains, enhancer promoter loops and other three-dimensional genomic interactions. The analysis is based on counts of chimeric read pairs that map to interacting regions of the genome. However, the processing and quality control presents a number of unique challenges. We review here the experimental and computational foundations and explain how the characteristics of restriction digests, sonication fragments and read pairs can be exploited to distinguish technical artefacts from valid read pairs originating from true chromatin interactions.
en
dc.format.extent
15 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
capture Hi-C
en
dc.subject
quality control
en
dc.subject.ddc
000 Informatik, Informationswissenschaft, allgemeine Werke::000 Informatik, Wissen, Systeme::004 Datenverarbeitung; Informatik
dc.subject.ddc
500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie
dc.subject.ddc
500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::576 Genetik und Evolution
dc.title
Computational Processing and Quality Control of Hi-C, Capture Hi-C and Capture-C Data
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.articlenumber
548
dcterms.bibliographicCitation.doi
10.3390/genes10070548
dcterms.bibliographicCitation.journaltitle
Genes
dcterms.bibliographicCitation.number
7
dcterms.bibliographicCitation.volume
10
dcterms.bibliographicCitation.url
https://doi.org/10.3390/genes10070548
refubium.affiliation
Mathematik und Informatik
refubium.affiliation.other
Institut für Bioinformatik
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
2073-4425